Results 131 to 140 of about 25,376 (299)
Bayesian inverse ensemble forecasting for COVID‐19
Canadian Journal of Statistics, EarlyView.Abstract Variations in strains of COVID‐19 have a significant impact on the rate of surges and on the accuracy of forecasts of the epidemic dynamics. The primary goal for this article is to quantify the effects of varying strains of COVID‐19 on ensemble forecasts of individual “surges.” By modelling the disease dynamics with an SIR model, we solve the ...
Kimberly Kroetch, Don Estep
wiley +1 more source
Analytical Approximation for Non-linear FBSDEs with Perturbation Scheme [PDF]
In this work, we have presented a simple analytical approximation scheme for generic non-linear FBSDEs. By treating the interested system as the linear decoupled FBSDE perturbed with non-linear generator and feedback terms, we have shown that it is ...
Masaaki Fujii, Akihiko Takahashi
core
A partial envelope approach for modelling multivariate spatial‐temporal data
Canadian Journal of Statistics, EarlyView.Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja +3 more
wiley +1 more source
Asymptotic Expansion Method for Singular Perturbation Problem [PDF]
, 2012 The main purpose of this thesis is to address the application of perturbation expansion techniques for the solution perturbed problems, precisely differential equations.
Satapathy, Gayatri
core
Communications on Pure and Applied Mathematics, EarlyView.ABSTRACT The leading‐order asymptotic behavior of the solution of the Cauchy initial‐value problem for the Benjamin–Ono equation in L2(R)$L^2(\mathbb {R})$ is obtained explicitly for generic rational initial data u0$u_0$. An explicit asymptotic wave profile uZD(t,x;ε)$u^\mathrm{ZD}(t,x;\epsilon)$ is given, in terms of the branches of the multivalued ...
Elliot Blackstone +3 more
wiley +1 more source
On asymptotic expansion of posterior distribution
, 2020 © 2016, Pleiades Publishing, Ltd.The paper suggests a new asymptotic expansion of posterior distribution, which improves the known normal asymptotic.
Zaikin A.
core
Stochastic Gradient Descent in High Dimensions for Multi‐Spiked Tensor PCA
Communications on Pure and Applied Mathematics, EarlyView.ABSTRACT We study the high‐dimensional dynamics of online stochastic gradient descent (SGD) for the multi‐spiked tensor model. This multi‐index model arises from the tensor principal component analysis (PCA) problem with multiple spikes, where the goal is to estimate the unknown signal vectors within the N$N$‐dimensional unit sphere through maximum ...
Gérard Ben Arous +2 more
wiley +1 more source
Vision and Influence in Econometrics: John Denis Sargan [PDF]
Denis Sargan's intellectual influence in econometrics is discussed and some of his visions for the future of econometrics are considered in this memorial article.
Peter C.B. Phillips
core
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Corporate social responsibility (CSR) has undergone continuous expansion across industries, yet its intellectual evolution and cross‐sectoral linkages remain insufficiently understood. This study provides a comprehensive, data‐driven assessment of CSR's developmental trajectories by analyzing 3314 Web of Science articles using key‐route main ...
Wei‐Hao Su +2 more
wiley +1 more source
Large liquidity expansion of super-hedging costs. [PDF]
We consider a financial market with liquidity cost as in Cetin, Jarrow and Protter [3] where the supply function S"(s; ) depends on a parameter " 0 with S0(s; ) = s corresponding to the perfect liquid situation.
Possamai, Dylan +2 more
core